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Multi-aircraft cooperative detection strategy based on formation

  • Northwestern Polytechnical University Xian

Research output: Contribution to journalConference articlepeer-review

Abstract

A filter algorithm combining Interactive Multiple Model (IMM) algorithm with adaptive transition probability and Unscented Kalman Filter (UKF) is proposed for the issue of state estimation of highly maneuvering targets with unknown motions. The centralized fusion structure is adopted to process measurements of multi-aircraft to improve the accuracy of target state estimation. The cooperative detection strategy based on formation is studied from two aspects of the aircrafts number and configuration radius, and conclusions are drawn through simulation: In general, the more the number of aircrafts, the better the detection effect; when the configuration radius is 250km and 100km, the better cooperative detection effect can be obtained; considering the cost issue, 4 aircrafts can be selected for cooperative detection in a rectangular formation with a half diagonal of 100km.

Original languageEnglish
Article number012072
JournalJournal of Physics: Conference Series
Volume1846
Issue number1
DOIs
StatePublished - 17 Mar 2021
Event2021 7th International Symposium on Sensors, Mechatronics and Automation System, ISSMAS 2021 - Xiamen City, Virtual, China
Duration: 29 Jan 202131 Jan 2021

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